{"id":29227222,"url":"https://github.com/hereariim/ecole-technique","last_synced_at":"2025-07-24T16:07:44.026Z","repository":{"id":272419951,"uuid":"916520541","full_name":"hereariim/Ecole-Technique","owner":"hereariim","description":"Cours de traitement d'images donné à l'Ecole Technique","archived":false,"fork":false,"pushed_at":"2025-02-06T07:55:41.000Z","size":3020,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-03T09:11:37.400Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/hereariim.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-01-14T09:00:49.000Z","updated_at":"2025-02-06T07:55:44.000Z","dependencies_parsed_at":null,"dependency_job_id":"03e16242-9abd-4186-a694-d0c2c10997ea","html_url":"https://github.com/hereariim/Ecole-Technique","commit_stats":null,"previous_names":["hereariim/ecole-technique"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/hereariim/Ecole-Technique","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hereariim%2FEcole-Technique","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hereariim%2FEcole-Technique/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hereariim%2FEcole-Technique/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hereariim%2FEcole-Technique/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/hereariim","download_url":"https://codeload.github.com/hereariim/Ecole-Technique/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hereariim%2FEcole-Technique/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266869331,"owners_count":23998022,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-07-24T02:00:09.469Z","response_time":99,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-07-03T09:10:15.488Z","updated_at":"2025-07-24T16:07:43.977Z","avatar_url":"https://github.com/hereariim.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Traitement  de données : Développer des modules\n\n![e622f994-00cc-49c6-92ad-ea34e2a60e2f](https://github.com/user-attachments/assets/7a6aef69-a4e3-40a3-b020-41a7b42b69d9)\n\nCe document est un atelier de l'école technique 2025. L'objectif de ce document est d'illustrer la conception d'un \nmodèle deep learning : de l'importation des données jusqu'à l'évaluation.\n\nCe cours n'est pas un cours complet sur le deep learning. Ceci requiert beaucoup plus de temps pour couvrir toutes les bases\ndu deep learning. Ce cours est divisé en deux parties:\n\n1- Importance de la qualité des annotations d'images\n\n2- Comment un modèle deep learning est fabriqué ?\n\n## Pré-requis\n\n- Système exploitation : Windows, Linux, MAC\n- Un compte Google avec Google colaboratory installé sur Google Drive\n- Data utilisées : [Arabidopsis Thaliana](https://uabox.univ-angers.fr/s/8nNR49DQJfJP7ie/download/herbe.zip)\n- Installer le logiciel d'annotation Label me :\n\n```\npip install labelme\n```\n\n## Liens utiles\n\nVidéos tutoriels (en français) :\n\n- Prise en main de Google colaboratory : [Youtube](https://www.youtube.com/watch?v=OH3VKI7ErAE\u0026t=197s)\n- Démonstration UNet avec Tensorflow : [Youtube](https://www.youtube.com/watch?v=wOmJnn3NrvE)\n\n## Auteur\n\nHerearii Metuarea, PhD, Université d'Angers\n\n## Autres contributeurs\n\nEquipe ImHorphen de l'Université d'Angers :\n\n- David Rousseau, Professeur des Universités, Université d'Angers\n- Abdoul Djalil Hamza Ousseini, Ingénieur d'études, INRAe\n- Julien Garnier, Ingénieur d'études, INRAe\n- Jordan Bernigaud-Samatan, Post-doc, INRAe\n\n## Contributeur\n\nCe cours a été présenté par l'équipe ImHorphen et Jordan Bernigaud-Samatan  à l'Ecole technique de phénotypage HD. Il a été écrit sous le projet PHENET.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhereariim%2Fecole-technique","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhereariim%2Fecole-technique","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhereariim%2Fecole-technique/lists"}